Wavu Wank

TEKKEN® 8 glicko2 Ratings &
Online Ranked Statistics

Ratings

Mazeltov vs Dragunov 107–69 60.80%
Mazeltov vs Kazuya 98–77 56.00%
Mazeltov vs Paul 88–65 57.52%
Mazeltov vs Hwoarang 72–77 48.32%
Mazeltov vs Bryan 74–68 52.11%
Mazeltov vs Reina 61–78 43.88%
Mazeltov vs Jin 54–55 49.54%
Mazeltov vs Clive 51–56 47.66%
Mazeltov vs King 52–41 55.91%
Mazeltov vs Steve 43–45 48.86%
Mazeltov vs Heihachi 48–36 57.14%
Mazeltov vs Yoshimitsu 36–44 45.00%
Mazeltov vs Azucena 29–45 39.19%
Mazeltov vs Devil Jin 36–35 50.70%
Mazeltov vs Law 29–40 42.03%
Mazeltov vs Lili 35–34 50.72%
Mazeltov vs Asuka 31–34 47.69%
Mazeltov vs Jack-8 27–26 50.94%
Mazeltov vs Anna 23–27 46.00%
Mazeltov vs Alisa 19–30 38.78%
Mazeltov vs Xiaoyu 18–25 41.86%
Mazeltov vs Lidia 20–23 46.51%
Mazeltov vs Feng 13–29 30.95%
Mazeltov vs Claudio 17–24 41.46%
Mazeltov vs Fahkumram 18–22 45.00%
Mazeltov vs Leo 18–21 46.15%
Mazeltov vs Nina 17–20 45.95%
Mazeltov vs Jun 14–23 37.84%
Mazeltov vs Armor King 16–21 43.24%
Mazeltov vs Victor 20–16 55.56%
Mazeltov vs Lee 15–20 42.86%
Mazeltov vs Leroy 15–20 42.86%
Mazeltov vs Kuma 11–13 45.83%
Mazeltov vs Eddy 9–15 37.50%
Mazeltov vs Zafina 12–9 57.14%
Mazeltov vs Lars 12–6 66.67%
Mazeltov vs Shaheen 6–11 35.29%
Mazeltov vs Raven 7–10 41.18%
Mazeltov vs Panda 5–9 35.71%
Mazeltov vs Miary Zo 3–6 33.33%

Limitations

This data is often requested to give insight into which characters you have more trouble with than others, but it is not particularly helpful for that. The main issue is that it is heavily skewed by how strong the opponents you play are.

For example, this data suggests my worst matchup is clearly vs Reina, but that's just because most of those games are vs Yagami.

There is a way to account for this being worked on. The central idea is to assign each matchup a rating vs you which adjusts based on the result, much like the regular rating but also based on the rating of each player. With this, it would give a better summary of how well you perform vs each character.

In the meantime, this page is here to present the data as requested.